AI/NLP Engineer
Cognii · San Jose, US
Job description
As a member of our research engineering team, you will have the following responsibilities:
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Design and implement NLP algorithms for educational assessments
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Semantic modeling of textual data
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Write scripts and tools for performance analysis
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Maintain and update the system
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Contribute to technical documentation of system modules and results
You should have experience and background in following areas with a strong commitment to developing practical applications:
- natural language understanding
- statistical machine learning
- syntactic and semantic analysis
- textual entailment and assessment
- large scale data modeling
- information extraction and filtering
- educational technology experience is a plus
Cognii provides the opportunity for research and development of some of the most challenging problems in natural language processing and computer science. If you feel that writing programs to process a few words long input is boring and want the challenge of extracting meaning from a paragraph length input, then Cognii would love to talk to you, Desired Qualifications:
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BS, MS or PhD in computer science or related discipline
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Strong background in statistical modeling, NLP and machine learning
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Proficiency with C/C++/Java, Ruby/Python, Matlab/Octave, Shell scripting
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Familiarity with SQL, Git, AWS EC2
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Experience in analyzing data using statistical/psychometric techniques
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Demonstrate a willingness to learn and apply a wide range of technologies
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Strong written and verbal communication skills and work ethics
How to apply
Cognii is a multiple-award winning rapidly growing AI and EdTech company based in San Francisco, CA. As part of the early team, you will get a significant equity based market competitive compensation and a hands-on experience working in an innovative startup environment. We are an equal opportunity employer committed to creating a diverse meritocratic environment.
Please send your application along with the CV or queries to jobs@cognii.com, Principals only.
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